1 citations · 1 across the 9 of their papers we have counts for
9 papers
Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction
Nabila Tasfiha Rahman, Rajatsubhra Chakraborty, Depeng Xu +1
Fairness auditing of text-to-image diffusion models often requires generating large numbers of images across sampling configurations, making comprehensive evaluation computationall…
MAVISEG: Manifold Propagation and Visual Prototypes for Zero-Shot Open-Vocabulary Segmentation in Diffusion Transformers
Rajatsubhra Chakraborty, Xujun Che, Ritabrata Chakraborty +2
Text-to-image diffusion transformers learn about objects and scenes by learning to generate them, making them strong candidates for training-free zero-shot open-vocabulary semantic…
Vision-Language Models are Fragile Multilingual Associators
Ritabrata Chakraborty, Rajatsubhra Chakraborty, Shivakumara Palaiahnakote +2
Vision-language models must associate visual entities with textual attributes. Whether these associations or concept bindings remain stable when the language of the input changes i…
DM-QPMNET: Dual-modality fusion network for cell segmentation in quantitative phase microscopy
Rajatsubhra Chakraborty, Ana Espinosa-Momox, Riley Haskin +2
Cell segmentation in single-shot quantitative phase microscopy (ssQPM) faces challenges from traditional thresholding methods that are sensitive to noise and cell density, while de…
BiasMap: Leveraging Cross-Attentions to Discover and Mitigate Hidden Social Biases in Text-to-Image Generation
Rajatsubhra Chakraborty, Xujun Che, Depeng Xu +3
Bias discovery is critical for black-box generative models, especiall text-to-image (TTI) models. Existing works predominantly focus on output-level demographic distributions, whic…
Do We Need Large VLMs for Spotting Soccer Actions?
Ritabrata Chakraborty, Rajatsubhra Chakraborty, Avijit Dasgupta +1
Traditional video-based tasks like soccer action spotting rely heavily on visual inputs, often requiring complex and computationally expensive models to process dense video data. W…
TruthLens:A Training-Free Paradigm for DeepFake Detection
Ritabrata Chakraborty, Rajatsubhra Chakraborty, Ali Khaleghi Rahimian +1
The proliferation of synthetic images generated by advanced AI models poses significant challenges in identifying and understanding manipulated visual content. Current fake image d…
LLAVIDAL: A Large LAnguage VIsion Model for Daily Activities of Living
Dominick Reilly, Rajatsubhra Chakraborty, Arkaprava Sinha +5
Current Large Language Vision Models (LLVMs) trained on web videos perform well in general video understanding but struggle with fine-grained details, complex human-object interact…
Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?
Aritra Dutta, Srijan Das, Jacob Nielsen +2
Despite the commercial abundance of UAVs, aerial data acquisition remains challenging, and the existing Asia and North America-centric open-source UAV datasets are small-scale or l…